Evidence map›Paper›PMID 25553617›Full record

ArticleBrain research2015

Neurons and networks organizing and sequencing memories.

Sam A Deadwyler, Theodore W Berger, Ioan Opris, Dong Song, Robert E Hampson

Open access · hybridAbstract read
In one paragraph

Article in Brain research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Hippocampal conditioning code dominates and disrupts the place code.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Sam A DeadwylerDepartment of Physiology & Pharmacology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157-1083, USA. Electronic address: sdeadwyl@wfubmc.edu.
Theodore W BergerDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, 1042 Downey Way (DRB140), Los Angeles, CA 90089-1111, USA.
Ioan OprisDepartment of Physiology & Pharmacology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157-1083, USA.
Dong SongDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, 1042 Downey Way (DRB140), Los Angeles, CA 90089-1111, USA.
Robert E HampsonDepartment of Physiology & Pharmacology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157-1083, USA.
Wake Forest University · USUniversity of Southern California · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
TROPANE EVALUATION AND GENERAL SCIENTIFIC SERVICES COREP50DA006634 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PORRINO, LINDA J. · 1991 to 2019
$30.8M
TrainingP41EB001978 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHOO, MICHAEL C K · 2003 to 2017
$18.1M
Modulation of Radiation-induced Brain Injury in the Nonhuman PrimateR01CA155293 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEADWYLER, SAMUEL A. · 2012 to 2015
$1.9M
Neuronal Analysis of Cocaine Effects on CognitionR01DA023573 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEADWYLER, SAMUEL A. · 2007 to 2011
$1.6M
Neuroimaging Correlates of Cocaine Reinforcement for Cognitive PerformanceR01DA026487 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEADWYLER, SAMUEL A. · 2010 to 2014
$1.6M
NCI NIH HHS P30 CA012197NCI NIH HHS R01 CA155293NIBIB NIH HHS P41 EB001978NIDA NIH HHS DA023573NIDA NIH HHS DA026487NIDA NIH HHS DA06634NIDA NIH HHS P50 DA006634NIDA NIH HHS R01 DA023573NIDA NIH HHS R01 DA026487
6 · The paper itself

Abstract

Hippocampal CA1 and CA3 neurons sampled randomly in large numbers in primate brain show conclusive examples of hierarchical encoding of task specific information. Hierarchical encoding allows multi-task utilization of the same hippocampal neural networks via distributed firing between neurons that respond to subsets, attributes or "categories" of stimulus features which can be applied in events in different contexts. In addition, such networks are uniquely adaptable to neural systems unrestricted by rigid synaptic architecture (i.e. columns, layers or "patches") which physically limits the number of possible task-specific interactions between neurons. Also hierarchical encoding is not random; it requires multiple exposures to the same types of relevant events to elevate synaptic connectivity between neurons for different stimulus features that occur in different task-dependent contexts. The large number of cells within associated hierarchical circuits in structures such as hippocampus provides efficient processing of information relevant to common memory-dependent behavioral decisions within different contextual circumstances. This article is part of a Special Issue entitled SI: Brain and Memory.

Indexed as

Models, NeurologicalAnimalsHippocampusHumansMemoryNerve NetNeuronsPattern Recognition, PhysiologicalHierarchical encodingHippocampal neuronsMemoryNonhuman primatesNonlinear hierarchical modelRetention and retrieval

Identifiers

PMID25553617
PMCPMC4485978
OpenAlexW2061415551

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.